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  1. 1
    دورية أكاديمية

    المؤلفون: Ariyo Okaiyeto, Samuel1 samuelariyo496@gmail.com, Jun Wang2 cauwangjun@cau.edu.cn, Hongwei Xiao1 xhwcaugxy@163.com

    المصدر: International Journal of Agricultural & Biological Engineering. Jul2023, Vol. 16 Issue 4, p269-270. 2p.

  2. 2
    دورية أكاديمية

    المؤلفون: Ariyo Okaiyeto, Samuel1 samuelariyo496@gmail.com, Junwen Bai2 baijunwen@hotmail.com, Hongwei Xiao1 xhwcaugxy@163.com

    المصدر: International Journal of Agricultural & Biological Engineering. May2023, Vol. 16 Issue 3, p285-286. 2p.

  3. 3
    دورية أكاديمية

    المؤلفون: Dalong Jiang1 3473972630@qq.com, Congcong Li2,3 hebaulcc@126.com, Zifan Lin4 zifan.lin@uwa.edu.au, Yuntian Wu5 yuntian.wu@beigene.com, Hongjuan Pei6 hjpei@cuc.edu.cn, Zielinska, Magdalena7 m.zielinska@uwm.edu.pl, Hongwei Xiao8 xhwcaugxy@163.com

    المصدر: International Journal of Agricultural & Biological Engineering. Jan2023, Vol. 16 Issue 1, p260-272. 13p.

    مصطلحات موضوعية: *CARROTS, *MASS transfer, *HUMIDITY, *TEMPERATURE distribution, *HEAT transfer, *MOISTURE

    مستخلص: In order to further understand the mechanism of material volume change in the drying process, numerical simulations (considering or neglecting shrinkage) of heat and mass transfer during convective drying of carrot slices under constant and controlled temperature and relative humidity were carried out. Simulated results were validated with experimental data. The results of the simulation show that the Quadratic model fitted well to the moisture ratio and the material temperature data trend with average relative errors of 5.9% and 8.1%, respectively. Additionally, the results of the simulation considering shrinkage show that the moisture and temperature distributions during drying are closer to the experimental data than the results of the simulation disregarding shrinkage. The material moisture content was significantly related to the shrinkage of dried tissue. Temperature and relative humidity significantly affected the volume shrinkage of carrot slices. The volume shrinkage increased with the rising of the constant temperature and the decline of relative humidity. This model can be used to provide more information on the dynamics of heat and mass transfer during drying and can also be adapted to other products and dryers devices. [ABSTRACT FROM AUTHOR]

  4. 4
    دورية أكاديمية

    المؤلفون: Okaiyeto, Samuel Ariyo1 samuelariyo496@gmail.com, Sutar, Parag Prakash2 paragsutar@gmail.com, Mujumdar, Arun S.3 arunmujumdar123@gmail.com, Hongwei Xiao1 xhwcaugxy@163.com

    المصدر: International Journal of Agricultural & Biological Engineering. Apr2024, Vol. 17 Issue 2, p289-290. 2p.

    مصطلحات جغرافية: FUKUSHIMA-shi (Japan)

    مستخلص: The article discusses the decision by Japan to release wastewater from the Fukushima Daiichi nuclear disaster into the ocean, which has raised concerns and protests from various countries and the international community. The water has been treated to remove most radioactive contaminants, but there are still concerns about the long-term effects, particularly regarding substances like tritium and carbon-14. The article also highlights the potential transportation of radionuclides by ocean currents and the lack of accepted standards for the disposal of nuclear-contaminated water. It concludes by calling for more research and international laws to prevent the discharge of nuclear sewage into the ocean. [Extracted from the article]

  5. 5
    دورية أكاديمية

    المؤلفون: Okaiyeto, Samuel Ariyo1 samuelariyo496@gmail.com, Mujumdar, Arun S.2 arunmujumdar123@gmail.com, Sutar, Parag Prakash3 paragsutar@gmail.com, Wei Liu4 twhlw@163.com, Junwen Bai5 baijunwen@hotmail.com, Hongwei Xiao1 xhwcaugxy@163.com

    المصدر: International Journal of Agricultural & Biological Engineering. Apr2024, Vol. 17 Issue 2, p287-288. 2p.

    مستخلص: This article discusses the use of chatbots, specifically ChatGPT and other similar models, in the field of academia. These chatbots are designed to generate text that appears human-like and conversational, and they have been used for tasks such as summarizing literature and writing essays. While they can be helpful, there are limitations to their reliability and accuracy. The article highlights concerns about biases in the data they rely on, the potential for inappropriate or harmful responses, and the need for transparency and verification of information obtained from chatbots. It also raises ethical and moral questions about the development and use of AI generative models in the future. The article concludes by emphasizing the importance of critical thinking and analysis in research and the need to consider the legal and copyright implications of using language models. [Extracted from the article]

  6. 6
    دورية أكاديمية

    المؤلفون: Yuxue Cao1,2,3 452258900@qq.com, Xuedong Yao1,2,3 yaoxuedong@126.com, Yongzhen Zang1,2,3 2726498267@qq.com, Yubao Niu1,2,3 1324633525@qq.com, Hongwei Xiao1,4 xhwcaugxy@163.com, Huan Liu1,2,3 2337792832@qq.com, Rongguang Zhu1,2,3 rgzh_jd@163.com, Xia Zheng1,2,3 124899256@qq.com, Qiang Wang1,2,3 17613286@qq.com, Xiangnan Zhang1,2,3 1326388867@qq.com, Shiyu Wei5 978758380@qq.com

    المصدر: International Journal of Agricultural & Biological Engineering. May2022, Vol. 15 Issue 3, p234-241. 8p.

    مستخلص: The real-time monitoring and prediction system for quality attributes of jujube slices during the drying process was designed to solve the problem of destructive and inconvenient of the traditional quality detection method and realize quality online monitoring. Firstly, machine vision and automatic weighing were employed to monitor the color and moisture content changes of jujube slices in real-time. Secondly, correlation models between color parameter (a* value) and nutritional quality attributes (vitamin C, reducing sugar) were established to predict vitamin C and reducing sugar content of jujube slices during the drying process. Finally, the upper computer monitoring software was integrated and designed based on LABVIEW virtual instrument, and the real-time monitoring system was tested and validated. Results showed that: the changing trends of color (L*, a*, and b* values) monitored by the system were basically the same as the results detected by the color difference meter, and the average errors of L*, a*, and b* values were 0.93, 0.52, and 0.73, respectively. The average relative error of moisture content between the system monitoring and manual static detection was 0.18%. The average error of vitamin C and reducing sugar content between the system prediction and manual detection were 50 mg/100 g on dry basis and 0.71g/100 g on dry basis, respectively. The current work can provide a useful reference for real-time monitoring of quality attributes of fruits and vegetables during the drying process. [ABSTRACT FROM AUTHOR]